Abstract
We designed and studied an innovative semantic visual learning analytics for orchestrating today's programming classes. The visual analytics integrates sources of learning activities by their content semantics. It automatically processs paper-based exams by associating sets of concepts to the exam questions. Results indicated the automatic concept extraction from exams were promising and could be a potential technological solution to address a real world issue. We also discovered that indexing effectiveness was especially prevalent for complex content by covering more comprehensive semantics. Subjective evaluation revealed that the dynamic concept indexing provided teachers with immediate feedback on producing more balanced exams.
| Original language | English (US) |
|---|---|
| Title of host publication | LAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation |
| Publisher | Association for Computing Machinery |
| Pages | 48-53 |
| Number of pages | 6 |
| Volume | 25-29-April-2016 |
| ISBN (Electronic) | 9781450341905 |
| DOIs | |
| State | Published - Apr 25 2016 |
| Event | 6th International Conference on Learning Analytics and Knowledge, LAK 2016 - Edinburgh, United Kingdom Duration: Apr 25 2016 → Apr 29 2016 |
Other
| Other | 6th International Conference on Learning Analytics and Knowledge, LAK 2016 |
|---|---|
| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 4/25/16 → 4/29/16 |
Keywords
- Auto grading
- Dashboard
- Intelligent authoring
- Orchestration technology
- Programming
- Semantic analytics
- Visual analytics
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software